File size: 1,779 Bytes
6457591 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 | //Author : Nathan Lee
//Created On : 2024-11-18
//Description : silero 5.1 system for torch-script(c++).
//Version : 1.0
#ifndef SILERO_TORCH_H
#define SILERO_TORCH_H
#include <string>
#include <memory>
#include <stdexcept>
#include <iostream>
#include <memory>
#include <vector>
#include <fstream>
#include <chrono>
#include <torch/torch.h>
#include <torch/script.h>
namespace silero{
struct SpeechSegment{
int start;
int end;
};
class VadIterator{
public:
VadIterator(const std::string &model_path, float threshold = 0.5, int sample_rate = 16000,
int window_size_ms = 32, int speech_pad_ms = 30, int min_silence_duration_ms = 100,
int min_speech_duration_ms = 250, int max_duration_merge_ms = 300, bool print_as_samples = false);
~VadIterator();
void SpeechProbs(std::vector<float>& input_wav);
std::vector<silero::SpeechSegment> GetSpeechTimestamps();
void SetVariables();
float threshold;
int sample_rate;
int window_size_ms;
int min_speech_duration_ms;
int max_duration_merge_ms;
bool print_as_samples;
private:
torch::jit::script::Module model;
std::vector<float> outputs_prob;
int min_silence_samples;
int min_speech_samples;
int speech_pad_samples;
int window_size_samples;
int duration_merge_samples;
int current_sample = 0;
int total_sample_size=0;
int min_silence_duration_ms;
int speech_pad_ms;
bool triggered = false;
int temp_end = 0;
void init_engine(int window_size_ms);
void init_torch_model(const std::string& model_path);
void reset_states();
std::vector<SpeechSegment> DoVad();
std::vector<SpeechSegment> mergeSpeeches(const std::vector<SpeechSegment>& speeches, int duration_merge_samples);
};
}
#endif // SILERO_TORCH_H
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